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test_methods_different_input_shape.py
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# -*- mode: python; coding: utf-8 -*-
#
# Copyright (C) 2024 Benjamin Thomas Schwertfeger
# All rights reserved.
# https://github.com/btschwertfeger
#
"""
Module implementing the unit tests that check if the input data sets can have
different shapes.
TODO: Remove the copy-paste stuff here. That could be done way simpler.
"""
from __future__ import annotations
import pytest
from cmethods import adjust
from cmethods.types import XRData_t
from .helper import is_1d_rmse_better
N_QUANTILES = 100
@pytest.mark.parametrize(
("method", "kind"),
[
("linear_scaling", "+"),
("linear_scaling", "*"),
("variance_scaling", "+"),
],
)
def test_1d_scaling_obs_shorter(
datasets: dict,
method: str,
kind: str,
) -> None:
obsh: XRData_t = datasets[kind]["obsh"][:7300, 0, 0].rename({"time": "t_time"}) # 20/30 years
obsp: XRData_t = datasets[kind]["obsp"][:, 0, 0]
simh: XRData_t = datasets[kind]["simh"][:, 0, 0]
simp: XRData_t = datasets[kind]["simp"][:, 0, 0]
# not group
result: XRData_t = adjust(
method=method,
obs=obsh,
simh=simh,
simp=simp,
kind=kind,
input_core_dims={"obs": "t_time", "simh": "time", "simp": "time"},
)
assert isinstance(result, XRData_t)
assert is_1d_rmse_better(result=result[kind], obsp=obsp, simp=simp)
# grouped
result = adjust(
method=method,
obs=obsh,
simh=simh,
simp=simp,
kind=kind,
group={"obs": "t_time.month", "simh": "time.month", "simp": "time.month"},
input_core_dims={"obs": "t_time", "simh": "time", "simp": "time"},
)
assert isinstance(result, XRData_t)
assert is_1d_rmse_better(result=result[kind], obsp=obsp, simp=simp)
@pytest.mark.parametrize(
("method", "kind"),
[
("linear_scaling", "+"),
("linear_scaling", "*"),
("delta_method", "+"),
("delta_method", "*"),
("variance_scaling", "+"),
],
)
def test_1d_scaling_simh_shorter(
datasets: dict,
method: str,
kind: str,
) -> None:
obsh: XRData_t = datasets[kind]["obsh"][:, 0, 0]
obsp: XRData_t = datasets[kind]["obsp"][:, 0, 0]
simh: XRData_t = datasets[kind]["simh"][:7300, 0, 0].rename({"time": "t_time"}) # 20/30 years
simp: XRData_t = datasets[kind]["simp"][:, 0, 0]
# not group
result: XRData_t = adjust(
method=method,
obs=obsh,
simh=simh,
simp=simp,
kind=kind,
input_core_dims={"obs": "time", "simh": "t_time", "simp": "time"},
)
assert isinstance(result, XRData_t)
assert is_1d_rmse_better(result=result[kind], obsp=obsp, simp=simp)
# grouped
result = adjust(
method=method,
obs=obsh,
simh=simh,
simp=simp,
kind=kind,
group={"obs": "time.month", "simh": "t_time.month", "simp": "time.month"},
input_core_dims={"obs": "time", "simh": "t_time", "simp": "time"},
)
assert isinstance(result, XRData_t)
assert is_1d_rmse_better(result=result[kind], obsp=obsp, simp=simp)
@pytest.mark.parametrize(
("method", "kind"),
[
("linear_scaling", "+"),
("linear_scaling", "*"),
("variance_scaling", "+"),
],
)
def test_1d_scaling_simp_shorter(
datasets: dict,
method: str,
kind: str,
) -> None:
obsh: XRData_t = datasets[kind]["obsh"][:, 0, 0]
obsp: XRData_t = datasets[kind]["obsp"][:7300, 0, 0].rename({"time": "t_time"}) # 20/30 years
simh: XRData_t = datasets[kind]["simh"][:, 0, 0]
simp: XRData_t = datasets[kind]["simp"][:7300, 0, 0].rename({"time": "t_time"}) # 20/30 years
# not group
result: XRData_t = adjust(
method=method,
obs=obsh,
simh=simh,
simp=simp,
kind=kind,
input_core_dims={"obs": "time", "simh": "time", "simp": "t_time"},
)
assert isinstance(result, XRData_t)
assert is_1d_rmse_better(result=result[kind], obsp=obsp, simp=simp)
# grouped
result = adjust(
method=method,
obs=obsh,
simh=simh,
simp=simp,
kind=kind,
group={"obs": "time.month", "simh": "time.month", "simp": "t_time.month"},
input_core_dims={"obs": "time", "simh": "time", "simp": "t_time"},
)
assert isinstance(result, XRData_t)
assert is_1d_rmse_better(result=result[kind], obsp=obsp, simp=simp)
# ---------------------------------------------------------------------------
@pytest.mark.parametrize(
("method", "kind"),
[
("quantile_mapping", "+"),
("quantile_mapping", "*"),
("quantile_delta_mapping", "+"),
("quantile_delta_mapping", "*"),
],
)
def test_1d_distribution_obs_shorter(
datasets: dict,
method: str,
kind: str,
) -> None:
obsh: XRData_t = datasets[kind]["obsh"][:7300, 0, 0].rename({"time": "t_time"}) # 20/30 years
obsp: XRData_t = datasets[kind]["obsp"][:, 0, 0]
simh: XRData_t = datasets[kind]["simh"][:, 0, 0]
simp: XRData_t = datasets[kind]["simp"][:, 0, 0]
result: XRData_t = adjust(
method=method,
obs=obsh,
simh=simh,
simp=simp,
kind=kind,
n_quantiles=N_QUANTILES,
input_core_dims={"obs": "t_time", "simh": "time", "simp": "time"},
)
assert isinstance(result, XRData_t)
assert is_1d_rmse_better(result=result[kind], obsp=obsp, simp=simp)
@pytest.mark.parametrize(
("method", "kind"),
[
("quantile_mapping", "+"),
("quantile_mapping", "*"),
("quantile_delta_mapping", "+"),
("quantile_delta_mapping", "*"),
],
)
def test_1d_distribution_simh_shorter(
datasets: dict,
method: str,
kind: str,
) -> None:
obsh: XRData_t = datasets[kind]["obsh"][:, 0, 0]
obsp: XRData_t = datasets[kind]["obsp"][:, 0, 0]
simh: XRData_t = datasets[kind]["simh"][:7300, 0, 0].rename({"time": "t_time"}) # 20/30 years
simp: XRData_t = datasets[kind]["simp"][:, 0, 0]
result: XRData_t = adjust(
method=method,
obs=obsh,
simh=simh,
simp=simp,
kind=kind,
n_quantiles=N_QUANTILES,
input_core_dims={"obs": "time", "simh": "t_time", "simp": "time"},
)
assert isinstance(result, XRData_t)
assert is_1d_rmse_better(result=result[kind], obsp=obsp, simp=simp)
@pytest.mark.parametrize(
("method", "kind"),
[
("quantile_mapping", "+"),
("quantile_mapping", "*"),
("quantile_delta_mapping", "+"),
("quantile_delta_mapping", "*"),
],
)
def test_1d_distribution_simp_shorter(
datasets: dict,
method: str,
kind: str,
) -> None:
obsh: XRData_t = datasets[kind]["obsh"][:, 0, 0]
obsp: XRData_t = datasets[kind]["obsp"][:7300, 0, 0].rename({"time": "t_time"}) # 20/30 years
simh: XRData_t = datasets[kind]["simh"][:, 0, 0]
simp: XRData_t = datasets[kind]["simp"][:7300, 0, 0].rename({"time": "t_time"}) # 20/30 years
result: XRData_t = adjust(
method=method,
obs=obsh,
simh=simh,
simp=simp,
kind=kind,
n_quantiles=N_QUANTILES,
input_core_dims={"obs": "time", "simh": "time", "simp": "t_time"},
)
assert isinstance(result, XRData_t)
assert is_1d_rmse_better(result=result[kind], obsp=obsp, simp=simp)